一、 个人简介

杨淑云，长安大学数学与信息科学系讲师（2018.12.25-现在），西安交通大学数学与统计学院获理学博士（2012.09-2018.12），陕西科技大学数学与应用数学学士（2008.09-2012.07），比利时根特大学联合培养（2016.09-2017.09）。目前为中国人工智能学会“粒计算与知识发现专委会”委员，长安大学“长安学者”人才支持计划“二类青年学术骨干”（2022-2024年）。 研究方向为：排序理论与不确定性数据分析。

二、科研成果

论文：

[1] Shuyun Yang, Hongying Zhang, Guang Shi, Yingjian Zhang, Attribute reductions of quantitative dominance-based neighborhood rough sets with A-stochastic transitivity of fuzzy preference relations. Applied Soft Computing, 134 (2023) 109994.

[2] Shuyun Yang, Hongying Zhang, Bernard De Baets, Moriba Jah, Guang Shi, Quantitative dominance-based neighborhood rough sets via fuzzy preference relations, IEEE Transactions on Fuzzy Systems, 29 (2021) 515-529.

[3] Hongying Zhang, Shuyun Yang, Uncertainty analysis of hierarchical granular structures for multi-granulation typical hesitant fuzzy approximation space, Iranian Journal of Fuzzy Systems 17(2020) 69-84.

[4] Hongying Zhang, Shuyun Yang, Three-way group decisions with interval-valued decision-theoretic rough sets based on aggregating inclusion measures, International Journal of Approximate Reasoning,110 (2019) 31-45.

[5] Hongying Zhang, Shuyun Yang, Feature selection and approximate reasoning of large-scale set-valued decision tables based on α-dominance-based quantitative rough sets, Information Sciences, 378 (2017)328-347.

[6] Hongying Zhang, Shuyun Yang, Jianmin Ma，Ranking interval sets based on inclusion measures and applications to three-way decision，Knowledge-Based Systems, 91 (2016) 62-70.

[7] Hongying Zhang, Shuyun Yang, Zhiwei Yue, On inclusion measures of intuitionistic and interval-valued intuitionistic fuzzy values and their applications to group decision making, International Journal of Machine Learning and Cybernetics 7 (2016) 833-843.

[8] Hongying Zhang, Shuyun Yang, Inclusion measure for typical hesitant fuzzy sets, the relative similarity measure and fuzzy entropy, Soft Computing,20 (2016) 1277-128.

[9] Hongying Zhang, Shuyun Yang, Representations of typical hesitant fuzzy rough sets, Journal of Intelligent and Fuzzy Systems, 31 (2016) 457-468 .

项目：

[1] 国家自然科学基金委，青年项目，基于最优决策类的量化优势邻域粗糙集的属性约简研究，2022.01-2024.12，30万元，主持。

[2] 陕西省科技厅，青年项目，基于辨识信息粒的优势粗糙集加速属性约简研究，2021.01-2022.12，3万元，主持。

[3] 中央高校基本科研业务费专项资金，优势粗糙集属性约简优化算法研究，2020.01-2021.12，5万元，主持。